• Navjot Singh
• Rajan Sachdeva
• Inderjeet Kaur

Water quality evaluation and expectation of Lakes are getting to be real difficulties in. In such manner, my task connected information mining advancements, as an inventive option, to build up a simple and more exact approach for water quality appraisal and expectation. The downside of the information mining displaying is that the execution takes very lengthy time-frame, particularly when we utilize a superior precision yet additional tedious calculation in bunching. Physical obstructions will in general spot a breaking point on how much quicker PC preparing motors can process information utilizing regular innovation. A productive calculation can play out a calculation substantially more rapidly than can a wasteful calculation, regardless of whether there is no adjustment in the PC equipment. So further improvement in calculations offers a conceivable course to proceeding to make PCs quicker; better misuse of parallel activities, pre-calculation of parts of an issue, and other comparable traps are for the most part conceivable methods for expanding processing productivity. So we have applied in our studies that the performance of the of system that was previously used like that of which was using high performance grid computing can be improved further by using increased attribute set. We have implemented the above said improvement found it to be superior in accurate hypothesis assessment.

Water quality assessment, Attribute, increased attribute set

"Water quality assessment using high performance grid and increases attribute set", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.625-628, June 2019, Available :http://www.jetir.org/papers/JETIR1906P90.pdf

"Water quality assessment using high performance grid and increases attribute set", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp625-628, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P90.pdf